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具有隐私保护能力的两层传感器网络数据聚集算法是当前的研究热点。首先,介绍安全多方计算中的安全求和协议;然后在此协议基础上提出了一种基于两层传感器网络的隐私保护的能量高效数据聚集算法PPEEDA(Privacy-Preserving Energy-Efficient Data Aggregation),PPEEDA在保证感知数据隐私的情况下实现感知数据聚集操作,Sink得到聚集结果。最后,通过理论分析和仿真实验结果表明,PPEEDA具有低通信量、低能耗、高安全性等特点。
The two-layer sensor network data aggregation algorithm with privacy protection is the current research hotspot. First of all, the safety summation protocol in secure multi-party computing is introduced. Based on this protocol, a Privacy-Preserving Energy-Efficient Data Aggregation (PPEEDA) algorithm based on two-layer sensor network is proposed. PPEEDA In the case of privacy-aware data to achieve perception of data aggregation operations, Sink get the result of aggregation. Finally, theoretical analysis and simulation results show that PPEEDA has the characteristics of low traffic, low power consumption and high safety.